DTing MCP
Enables AI clients to access DTing business functions including company briefs, MCP tool suggestions, support replies, profile prompts, match context analysis, and safety checklists.
README
DTing MCP
This is a small MCP server for DTing. MCP means Model Context Protocol: it lets an AI client call your own business functions instead of guessing from memory.
DTing Tools
The server now includes learning-friendly DTing tools in app/tools/dting.py:
get_dting_company_brief: returns product positioning and core feature context.suggest_dting_mcp_tools: explains what kind of MCP tools fit a business goal.draft_dting_support_reply: drafts a customer support first response.generate_dting_profile_prompt: creates profile-writing prompts for users.analyze_dting_match_context: gives a simple explainable match-context score.build_dting_safety_checklist: returns a trust and safety review checklist.
Think of every MCP tool as:
AI asks a question -> MCP calls your function -> AI gets trusted company data
To add your next company tool:
- Create a normal Python function with clear inputs and output.
- Register it with
@mcp.tool(). - Keep the docstring simple because AI clients use it to understand the tool.
- Add a focused test for the pure helper function.
Docker
Build and start the MCP server:
docker compose up --build
The default URL is:
http://localhost:8004
If that port is busy, run it with another port:
HOST_PORT=8010 PORT=8010 docker compose up --build
Stop the server:
docker compose down
Local Python
Install dependencies and run:
pip install -r requirements.txt
PORT=8004 python -m app.main
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